- Explore [has_child]
- All Courses [subitem]
- AI Career Platform [subitem]
- Hire form us [subitem]
- 1:1 Coaching/Mentoring [subitem]
- Job Board [subitem]
- Institute Partnerships [subitem]
- Resources [has_child]
- Master Classes [subitem]
- Discussion Forum [subitem]
- Coding Playground [subitem]
- Free Courses [subitem]
- Topics [has_child]
- Data Science [subitem]
- Software Development [subitem]
- Company Insights
- Interview Preparation [subitem]
- Python [subitem]
- Programming [subitem]
- Digital Marketing [subitem]
- Web Development [subitem]
- Success Stories [subitem]
Data Structures: Foundation of Effective Programming
A Career in Digital Marketing - A Complete Guide for Beginners
Fundamentals of LCM and HCF-2
Advanced Algorithms and Problem Solving Techniques
The skills required to stay relevant in IT sector
Introduction to Big Data
What Is Content Marketing?
The Role and Importance of Banks in the Economy
Introduction to Deep Learning: From Basics to Advanced Concepts
6 Bootstrap Tools and Playground – One-stop shop for all Web Developmental Needs
Basics of Javascript
Why is it Important for Freshers to Work in a Team?
Introduction To Cloud Computing
Basic Guide to HTML & CSS – The Fundamentals of Web Development
10 Common Data Structures Every Programmer Must Know
Why Learn English?
What is the Scope of Digital Marketing in 2025
Python Libraries
What are Collections in Python?
All About Resume and Its Importance
Fundamentals of Digital Marketing
Introduction To SQL: A Complete Guide
Most Common 10 Telephonic Interview Questions
Step-by-Step Guide to Data Visualization with Power BI
JSON vs XML: Differences
React Functional Components: Introduction
The Ultimate Guide to Resume building for Freshers
Introduction to Natural Language Processing (NLP)
Why Group Discussion for Interview? The HR Perspective
Why Data Visualization is Important for Becoming a Data Scientist
A-Z about Python Variables
What is Grooming & Etiquette?
What is a Job Interview?
What is Meant by Machine Learning & What Can Machine Learning Do?
Discover the Versatility of Microsoft Excel: Your Swiss Army Knife for Data
What is Digital Marketing & How to Become a Digital Marketer
Java Programs: Know the Best Java Programs for Beginners
What is Email Marketing in Digital Marketing?
Secrets Of A Good Resume, Which Will Get You Hired!
Fundas of Pandas
A quick guide to Asymptotic Analysis
Introduction to Management Interview Preparation
Data Science vs. Data Analytics - What's the Difference?
OOPs (Object Oriented Programming) in C++
What is Consulting? Essential Insights for Aspiring Consultants
Mastering Vocabulary: The Key to Verbal Ability
Structure of DBMS
What is Search Engine Optimization & How It Works
Software Testing: What it is?
Why Social Media Marketing Is Important?
Encapsulation in Java: A Comprehensive Tutorial
Operating System: Functions
Header in C++
Job Trends In This Decade
Software: Types & Definition
Ultimate Guide to HR Interview Questions for Freshers
Types of Data in Statistics
How to Apply for Jobs as Fresher & Get Selected in One Go
C++ Language: An Overview
Understand Serialization and Deserialization in Java
What are Node.js and Basics of Node.js?
Learn about Boolean in Python
Fundamentals of Divisibility Rules in Quantitative Aptitude
Getting Started with Tableau: Installation and Introduction
Introduction to Goal Setting and Risk Profiling
Data Communication: A Process
How To Start Your Career In Data Science
Does a Linkedin profile really matter before getting a Job?
All about C Programming Language
Javascript vs Typescript: What is the Difference?
The Multifaceted Relationships Between Banker and Customer
Introduction to Big Data Analytics: From Basics to Implementation
What is Full Stack Development?
How To Start Competitive Programming - A Complete Guide
The Essential SUM Function in Excel: A Step-by-Step Guide
Master Simple and Compound Interest Quickly and Accurately
Mastering SWOT Analysis for Business Success
Creating and Using Sets in Tableau: A Comprehensive Guide
System Testing: Explained
Understanding the Loan Underwriting Process
Understanding Risk and Return in Mutual Funds
Mastering the MIN Function in Excel: Find the Lowest Value Instantly
Mastering Data Filters in Tableau: A Step-by-Step Guide
Mastering Value Chain Analysis: Uncovering Business Opportunities
Understanding the Difference in Simple and Compound Interest over 2 and 3 Years
Understanding Credit Scoring Models: A Comprehensive Insight
Creating Calculated Fields in Tableau: A Step-by-Step Guide
Understanding Principle Multiplication with Compound and Simple Interest
Understanding PESTEL Analysis for Industry Evaluation
Mastering the GE-McKinsey 9-Box Matrix: A Strategic Guide
Understanding Simple Interest vs. Compound Interest
Combining Data Sources Using Data Blending in Tableau
Mastering the COUNT Function in Excel
Mastering Mutual Fund Investment and Redemption Plans
Understanding Credit Rating Agencies and Their Processes
Mastering Mixtures and Alligations: Key Techniques and Practice
Mastering the COUNTA Function in Excel
Maximizing Organizational Performance with the Balanced Scorecard
Bringing in More Data with Joins in Tableau
Mastering Mixtures and Allegations: Key Concepts and Applications
In this article, we will discuss tail recursion. The tail recursion is that kind of recursion in which the recursive call is made at the end of the function. In other words, no statement exists after the recursive call.
Let us consider the following in C++ that demonstrates how tail recursion works:
Source Code:
// Header file |
Output:
Please note that in the above program there is no statement to be executed after the recursive call.
Need for the tail recursion
The tail recursion is always preferred over the non-tail recursion as the compiler can easily optimized tail recursion.
The compiler is generally responsible for executing recursive statements with the help of a stack. The stack keeps all the necessary information including the value of parameters for each and every recursive call. Whenever there is a call made to a procedure, the information is passed to the stack, and the moment when the execution of the function ends, the information is popped out or removed from the stack. So, the problem that persists with the non-tail recursion functions is that non-tail recursive functions take more stack depth as compared to tail recursion.
How the compiler optimizes tail recursion?
The tactic utilized by the compiler to optimize the tail recursion is simple. Actually, there is no statement to be executed after the tail recursive statement so the compiler doesn’t have to worry about saving the current function’s stack frame.
How to convert a non-tail recursion into tail recursion?
We can convert most of the non-tail recursive functions into tail recursion. For example, consider the following program that computes the sum of the first N natural numbers. The below program looks like a tail recursion but it is not actually. This is because first, we calculate the result of the operation myFunction(number + 1) and then apply the addition with the number and then return the entire value. So calling the recursive function is not the last thing being done here.
Source Code
// Header file |
Output:
We can easily convert the above non-tail recursion into tail recursion. The idea is to pass an additional argument to myFunction and return the recursive call as a whole at the end of the function. For example, consider the following that computes the sum of N natural numbers using tail recursion:
Source Code:
// Header file |
Output:
Conclusion
In this article, we discussed an important data structures concept, tail recursion. We believe that you must have learned something new through this article.